Summary
This website contacted 119 IPs in 5 countries across 30 domains to perform 138 HTTP transactions. The main domain is nola.gov and was registered NaN years ago.
Submitted URL: https://nola.gov/next/ethics-review-board/home/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government site with no phishing or malware indicators.
Safety Factors
Details
Page Title
Ethics Review Board - Home - City of New Orleans
Scan Type
public
Language
English
Category
government public service
(73%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'nola.gov' is registered and has no subdomain. Count 4 characters in 'nola' holding 2 vowels versus 2 consonants. Tokenizing the label suggests one word: nola. Median word length is four characters. Most frequently, 'nola' shows up in Basque. You may catch it in Bosnian and Catalan as well.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 47 | 72.237.170.108 | New Orleans, Louisiana, United States | AS62841CITY-OF-NEW-ORLEANS |
| 20 | 3.66.57.171 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 13 | 142.250.186.132 | United States | AS15169GOOGLE |
| 8 | 216.239.32.36 | United States | AS15169GOOGLE |
| 6 | 142.250.186.168 | United States | AS15169GOOGLE |
| 5 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 151.101.129.229 | San Francisco, California, United States | AS54113FASTLY |
| 5 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 35.156.125.125 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 4 | 142.250.185.163 | United States | AS15169GOOGLE |
| 138 | 119 | - | - |
Detected Technologies16
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
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